Metadata and Reproducibility: A Case Study of Gravitational Wave Research Data Management

The complexity of computationally-intensive scientific research poses great challenges for both research data management and research reproducibility. What metadata needs to be captured for tracking, reproducing, and reusing computational results is the starting point in developing metadata models t...

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Main Authors: Jian Qin, Brian Dobreski, Duncan Brown
Format: Article
Language:English
Published: University of Edinburgh 2016-10-01
Series:International Journal of Digital Curation
Online Access:http://www.ijdc.net/article/view/399
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author Jian Qin
Brian Dobreski
Duncan Brown
author_facet Jian Qin
Brian Dobreski
Duncan Brown
author_sort Jian Qin
collection DOAJ
description The complexity of computationally-intensive scientific research poses great challenges for both research data management and research reproducibility. What metadata needs to be captured for tracking, reproducing, and reusing computational results is the starting point in developing metadata models to fulfil these functions of data management. This paper reports the findings from interviews with gravitational wave (GW) researchers, which were designed to gather user requirements to develop a metadata model. Motivations for keeping documentation of data and analysis results include trust, accountability and continuity of work. Research reproducibility relies on metadata that represents code dependencies and versions and has good documentation for verification. Metadata specific to GW data, workflows and outputs tend to differ from those currently available in metadata standards. The paper also discusses the challenges in representing code dependencies and workflows. .
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spelling doaj.art-bc218c80ca844377967e30d706dcb0ab2022-12-22T02:59:25ZengUniversity of EdinburghInternational Journal of Digital Curation1746-82562016-10-0111110.2218/ijdc.v11i1.399Metadata and Reproducibility: A Case Study of Gravitational Wave Research Data ManagementJian Qin0Brian Dobreski1Duncan Brown2Syracuse UniversitySyracuse UniversitySyracuse UniversityThe complexity of computationally-intensive scientific research poses great challenges for both research data management and research reproducibility. What metadata needs to be captured for tracking, reproducing, and reusing computational results is the starting point in developing metadata models to fulfil these functions of data management. This paper reports the findings from interviews with gravitational wave (GW) researchers, which were designed to gather user requirements to develop a metadata model. Motivations for keeping documentation of data and analysis results include trust, accountability and continuity of work. Research reproducibility relies on metadata that represents code dependencies and versions and has good documentation for verification. Metadata specific to GW data, workflows and outputs tend to differ from those currently available in metadata standards. The paper also discusses the challenges in representing code dependencies and workflows. .http://www.ijdc.net/article/view/399
spellingShingle Jian Qin
Brian Dobreski
Duncan Brown
Metadata and Reproducibility: A Case Study of Gravitational Wave Research Data Management
International Journal of Digital Curation
title Metadata and Reproducibility: A Case Study of Gravitational Wave Research Data Management
title_full Metadata and Reproducibility: A Case Study of Gravitational Wave Research Data Management
title_fullStr Metadata and Reproducibility: A Case Study of Gravitational Wave Research Data Management
title_full_unstemmed Metadata and Reproducibility: A Case Study of Gravitational Wave Research Data Management
title_short Metadata and Reproducibility: A Case Study of Gravitational Wave Research Data Management
title_sort metadata and reproducibility a case study of gravitational wave research data management
url http://www.ijdc.net/article/view/399
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